Abstract:
The project’s objective is to develop a theft detection system based
recognition. The system would detect faces though a camera, process the faces and
decide whether the face belongs to an authorized entity or not. If the person i
authorized to enter the room/area, the system would send an SMS to the authorized
on facial
is not
person through GSM module, and the authorized person would be able to surveillance the area using an Android application in real time though internet an internet
connection. Different techniques that are used for recognition of faces are explored in
this report. All of the different stages that are involved in the entire image processing
stage will be studied and discussed. Finally the algorithm coded
implemented in the Raspberry Pie module.
in python
The report discusses the methods used for the completion of the project and the flow
of the system. The report goes into detail about various stages in image processing
about what methodology is used for facial detection, and then recognition. The report
discusses how Har Cascade Classifiers are used for facial detection and LBPH for
recognition with details of their working. And how SMS are sent using AT commands
in python and how all the different applications are created for surveillance. The report focuses on details on how the different modules brought together and integrated are for the completion of the project.
